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rubert-base-massive-ner – AI Model by 0x7o | AlphaNeural AI
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rubert-base-massive-ner
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transformers
pytorch
safetensors
bert
token-classification
ru
massive
apache-2.0
autotrain_compatible
endpoints_compatible
us
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rubert-base-massive-ner
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on the massive dataset. It achieves the following results on the evaluation set:
Loss: 0.0367
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.1228
0.77
500
0.0565
0.0517
1.54
1000
0.0367
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
